Data Days CLE 2026 (Conference Day)

This session introduces FAIR2 Data Chats as a community-participatory research tool to advance Public Interest Technology in data science. The FAIR2 framework expands on the established FAIR data principles by embedding historical and community knowledge throughout the data analytic process to address discrimination bias. We illustrate the use of FAIR2 Data Chats in two applications of integrated data analytics in the area of homelessness.

Join College Now to explore our AI chatbot's development. We'll detail how a nonprofit embraces new tech, addressing cost constraints, ensuring robust data security and privacy, designing for genuine user needs, and achieving strategic alignment. Gain practical insights into leveraging AI responsibly within a resource-conscious environment. Essential for organizations innovating with purpose.

Violent injury leaves lasting impacts beyond the hospital. Our panel of researchers and crisis response leaders will share findings from a participatory study with 250+ survivors and chosen family, revealing major gaps in post-injury needs like housing, bills, and mental health. We’ll discuss ethical data collection, building trust, and using civic data and visual tools to better connect services and support to those most impacted.

Our session will discuss/demonstrate the strategy and execution of an enterprise data warehouse focusing on the unification and analysis of data across a large park system. Areas of focus:
- Data ingestion methods, data models and technologies used to build the data warehouse
- Custom visualizations and interactive reporting to assist in fundraising efforts and data driven decisions
- Emerging technologies to measure and augment park and trail visitation data (Lorawan and satellite technologies)